Instructions to use ncbateman/tuning-miner-testbed-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ncbateman/tuning-miner-testbed-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "ncbateman/tuning-miner-testbed-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1944bae63d4585d69f6a8dc993876c22d4a2ea9f2e41cd3a4434af2ea15cdf8e
- Size of remote file:
- 6.65 kB
- SHA256:
- 5806c4d9a2000f56cf7446c0b9ce3ad414fda3388dacf19f1c3f9be4085986dc
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